GenAI Software Development Engineer

WHAT YOU DO AT AMD CHANGES EVERYTHING

At AMD, our mission is to build great products that accelerate next‑generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture.

We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond.

We are building a platform where autonomous AI agents run hardware validation campaigns, triage failures, and continuously grow a shared knowledge base—without a human in the loop. You will be a core engineer on this system, designing and building the LLM agent framework, RAG pipelines, MCP backend, and developer tooling that make it work. This role sits within the Global Cluster Engineering organization, where you will develop software that powers distributed infrastructure at global scale.

This is an AI‑native software engineering role: you will spend your time building multi‑agent orchestration systems, retrieval‑augmented generation pipelines, tool‑use frameworks, and knowledge graph integrations. You do not need deep hardware domain knowledge—but intellectual curiosity about how firmware validation and network hardware works will help you build better tools for the engineers who do. We are hiring two Senior Software Engineers into this role;

specific areas of ownership will be shaped by each person's strengths and interests.

• Experience: software development experience, with a strong portfolio of production systems
• AI‑Native Development: Genuine passion for building AI‑native software—you follow the field, have shipped real LLM‑powered systems, and care about getting the details right (grounding, evaluation, failure modes, not just prompts)
• RAG Systems: Hands‑on experience building RAG pipelines—embedding models, vector databases, chunking strategies, retrieval evaluation, hybrid search, and reranking
• LLM Engineering: Production experience with LLM tool use, multi‑agent orchestration, prompt engineering, context management, and hallucination mitigation
• Core
  
  Skills:
  
  Strong proficiency in one or more modern programming languages such as Python, Type Script/Node.js, Go, Java, C#, or Rust, with demonstrated ability to build and operate production‑scale services. Python experience is preferred due to the AI/ML ecosystem
• Engineering excellence: Async programming, API design, distributed systems, clean code practices. Experience designing for reliability in automated/unattended environments—crash recovery, audit trails, state management, observability
• Cloud Infrastructure: Experience with AWS, Azure, or GCP—infrastructure provisioning, managed services, networking, and deploying production workloads at scale
• AI Tooling: Active use of AI coding assistants and LLM‑powered developer tools (Claude Code, Git Hub Copilot, Cursor, etc.) to accelerate development and problem‑solving

• Agent Orchestration: Design, build, and maintain the AI agent orchestration layer—multi‑agent dispatch, context window management, anti‑hallucination guardrails, progress tracking, crash recovery, audit trails, and inter‑agent communication protocols
• RAG Pipeline Development: Build and continuously improve the retrieval‑augmented generation pipeline—document ingestion from Slack, Git Hub, Jira, and Confluence; chunking and embedding strategies; hybrid vector + keyword search; cross‑encoder and LLM‑based reranking; knowledge graph indexing via LightRAG + Neo4j
• Developer Experience & User Interfaces: Build intuitive web applications and developer experiences enabling engineers to interact with AI agents, knowledge systems, validation workflows, observability dashboards, and operational tooling. Experience building modern web applications using React, Next.js, Angular, Vue, or similar frameworks.
• Backend Systems:
  De…